Training in progress epoch 9

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2357
-- Validation Loss: 0.3555
-- Train Precision: 0.6137
+- Train Loss: 0.1516
+- Validation Loss: 0.3692
+- Train Precision: 0.6264
 - Train Recall: 0.7004
-- Train F1: 0.6542
-- Train Accuracy: 0.9025
-- Epoch: 6
+- Train F1: 0.6614
+- Train Accuracy: 0.9017
+- Epoch: 9
 
 ## Model description
 
@@ -54,6 +54,9 @@ The following hyperparameters were used during training:
 | 0.3731     | 0.3833          | 0.5849          | 0.6540       | 0.6175   | 0.8910         | 4     |
 | 0.2830     | 0.3550          | 0.6019          | 0.6730       | 0.6355   | 0.8958         | 5     |
 | 0.2357     | 0.3555          | 0.6137          | 0.7004       | 0.6542   | 0.9025         | 6     |
+| 0.2042     | 0.3500          | 0.6325          | 0.6646       | 0.6481   | 0.9004         | 7     |
+| 0.1721     | 0.3511          | 0.5891          | 0.7046       | 0.6417   | 0.8964         | 8     |
+| 0.1516     | 0.3692          | 0.6264          | 0.7004       | 0.6614   | 0.9017         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:586afb0f5b3c06808e96a6149d192f12eaf7c48c1404256b1c26d01c77f8a47a
+oid sha256:d86be2e1f515687653175a0b397a752f79b87e2782a082ec2b536b60e50f924c
 size 435873780